Flowise/packages/server/marketplaces/Antonym.json

324 lines
13 KiB
JSON

{
"description": "Output antonym of given user input using few-shot prompt template built with examples",
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"name": "promptTemplate",
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 5,
"placeholder": "What is a good name for a company that makes {product}?"
}
],
"inputAnchors": [],
"inputs": {
"template": "Word: {word}\\nAntonym: {antonym}\\n"
},
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"type": "FewShotPromptTemplate",
"baseClasses": ["FewShotPromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Prompt template you can build with examples",
"inputParams": [
{
"label": "Examples",
"name": "examples",
"type": "string",
"rows": 5,
"placeholder": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" },\n]"
},
{
"label": "Prefix",
"name": "prefix",
"type": "string",
"rows": 3,
"placeholder": "Give the antonym of every input"
},
{
"label": "Suffix",
"name": "suffix",
"type": "string",
"rows": 3,
"placeholder": "Word: {input}\nAntonym:"
},
{
"label": "Example Seperator",
"name": "exampleSeparator",
"type": "string",
"placeholder": "\n\n"
},
{
"label": "Template Format",
"name": "templateFormat",
"type": "options",
"options": [
{
"label": "f-string",
"name": "f-string"
},
{
"label": "jinja-2",
"name": "jinja-2"
}
],
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}
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],
"inputs": {
"examples": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" }\n]",
"examplePrompt": "{{promptTemplate_0.data.instance}}",
"prefix": "Give the antonym of every input",
"suffix": "Word: {input}\\nAntonym:",
"exampleSeparator": "\\n\\n",
"templateFormat": "f-string"
},
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"label": "OpenAI",
"name": "openAI",
"type": "OpenAI",
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
"category": "LLMs",
"description": "Wrapper around OpenAI large language models",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-davinci-003",
"name": "text-davinci-003"
},
{
"label": "text-davinci-002",
"name": "text-davinci-002"
},
{
"label": "text-curie-001",
"name": "text-curie-001"
},
{
"label": "text-babbage-001",
"name": "text-babbage-001"
}
],
"default": "text-davinci-003",
"optional": true
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.7,
"optional": true
}
],
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"inputs": {
"modelName": "text-davinci-003",
"temperature": 0.7
},
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"type": "customNode",
"data": {
"id": "llmChain_0",
"label": "LLM Chain",
"name": "llmChain",
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain"],
"category": "Chains",
"description": "Chain to run queries against LLMs",
"inputParams": [
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "string",
"rows": 5,
"placeholder": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}",
"optional": true
}
],
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"label": "Language Model",
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],
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"promptValues": ""
},
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"id": "llmChain_0-output-llmChain-LLMChain|BaseChain",
"name": "llmChain",
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